<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The market of Unmanned Aerial Vehicles (UAVs) for civil applications is extensively growing. Indeed, these airplanes are now widely used in applications such as data gathering, agriculture monitoring and rescue. The UAVs are required to track a fixed or moving object; thus, tracking control algorithms that ensure the system stability and that have a quick time response must be developed. This paper tackles the problem of supervising a fixed target using a fixed wing UAV flying at a constant altitude and a constant speed. For that purpose, three control algorithms were developed. In all of the algorithms, the UAV is expected to hover around the target in a circular trajectory. Moreover, the three approaches are based upon a Lyapunov-LaSalle stabilization method. The first tracking algorithm ensures that the UAV circles around the target. However, the path that the UAV follows in order to join this pattern is not studied. In the second and third approach, two different techniques that allow the UAV to intercept its final circular pattern in the quickest possible time and thus follow the tangent to the circular pattern are presented. Simulation results that show and compare the performances of the proposed methods are presented.</p>
</abstract>

The market of Unmanned Aerial Vehicles (UAVs) for civil applications is extensively growing. Indeed, these airplanes are now widely used in applications such as data gathering, agriculture monitoring and rescue. The UAVs are required to track a fixed or moving object; thus, tracking control algorithms that ensure the system stability and that have a quick time response must be developed. This paper tackles the problem of supervising a fixed target using a fixed wing UAV flying at a constant altitude and a constant speed. For that purpose, three control algorithms were developed. In all of the algorithms, the UAV is expected to hover around the target in a circular trajectory. Moreover, the three approaches are based upon a Lyapunov-LaSalle stabilization method. The first tracking algorithm ensures that the UAV circles around the target. However, the path that the UAV follows in order to join this pattern is not studied. In the second and third approach, two different techniques that allow the UAV to intercept its final circular pattern in the quickest possible time and thus follow the tangent to the circular pattern are presented. Simulation results that show and compare the performances of the proposed methods are presented.

Lyapunov-L Lasalle Based Dynamic Stabilization for Fixedwing Drones

Journal of Automation, Mobile Robotics and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Lyapunov-L Lasalle Based Dynamic Stabilization for Fixedwing Drones"}

The market of Unmanned Aerial Vehicles (UAVs) for civil applications is extensively growing. Indeed, these airplanes are now widely used in applications such...

Lyapunov-L Lasalle Based Dynamic Stabilization for Fixedwing Drones

Online veröffentlicht: 14. März 2024

Seitenbereich: 40 - 48

Eingereicht: 02. März 2022

Akzeptiert: 20. März 2023

DOI: https://doi.org/10.14313/jamris/4-2023/29

Schlüsselwörter
UAV, Stabilisation, Lyapunov-LaSalle

© 2023 Jean Sawma et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Lyapunov-L Lasalle Based Dynamic Stabilization for Fixedwing Drones

Online veröffentlicht: 14. März 2024

Seitenbereich: 40 - 48

Eingereicht: 02. März 2022

Akzeptiert: 20. März 2023

DOI: https://doi.org/10.14313/jamris/4-2023/29

SchlüsselwörterUAV, Stabilisation, Lyapunov-LaSalle

© 2023 Jean Sawma et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
UAV, Stabilisation, Lyapunov-LaSalle